Tracker
These docs are for version 1.x of Rasa Open Source.
User Guide
- Installation
- Tutorial: Rasa Basics
- Tutorial: Building Assistants
- Command Line Interface
- Architecture
- Messaging and Voice Channels
- Testing Your Assistant
- Setting up CI/CD
- Validate Data
- Configuring the HTTP API
- Deploying Your Rasa Assistant
- Cloud Storage
NLU
- About
- Using NLU Only
- Training Data Format
- Language Support
- Choosing a Pipeline
- Components
- Entity Extraction
Core
- About
- Stories
- Domains
- Responses
- Actions
- Reminders and External Events
- Policies
- Slots
- Forms
- Retrieval Actions
- Interactive Learning
- Fallback Actions
- Knowledge Base Actions
Conversation Design
API Reference
- Action Server
- HTTP API
- Jupyter Notebooks
- Agent
- Custom NLU Components
- Rasa SDK
- Events
- Tracker
- Tracker Stores
- Event Brokers
- Lock Stores
- Training Data Importers
- Featurization of Conversations
- TensorFlow Configuration
- Migration Guide
- Rasa Open Source Change Log
Migrate from (beta)
Reference
Tracker
Trackers maintain the state of a dialogue between the assistant and the user in the form of conversation sessions. To learn more about how to configure the session behavior, check out the docs on Session configuration.
classrasa.core.trackers.``DialogueStateTracker( sender_id, slots, max_event_history=None, sender_source=None)
Maintains the state of a conversation.
applied_events()
Returns all actions that should be applied - w/o reverted events.
as_dialogue()
Return a Dialogue object containing all of the turns. This can be serialised and later used to recover the state of this tracker exactly.
change_form_to( form_name)
Activate or deactivate a form.
clear_followup_action()
Clears follow up action when it was executed.
copy()
Creates a duplicate of this tracker.
current_slot_values()
Return the currently set values of the slots.
current_state( event_verbosity=<EventVerbosity.NONE: 1>)
Return the current tracker state as an object.
events_after_latest_restart()
Return a list of events after the most recent restart.
export_stories( e2e=False, include_source=False)
Dump the tracker as a story in the Rasa Core story format.
export_stories_to_file( export_path='debug.md')
Dump the tracker as a story to a file.
from_dict( sender_id, events_as_dict, slots=None, max_event_history=None)
Create a tracker from dump.
generate_all_prior_trackers()
Returns a generator of the previous trackers of this tracker.
get_last_event_for( event_type, action_names_to_exclude=None, skip=0)
Gets the last event of a given type which was actually applied.
get_latest_entity_values( entity_type, entity_role=None, entity_group=None)
Get entity values found for the passed entity type and optional role and group in latest message.
get_latest_input_channel()
Get the name of the input_channel of the latest UserUttered event.
get_slot( key)
Retrieves the value of a slot.
idx_after_latest_restart()
Return the idx of the most recent restart in the list of events.
init_copy()
Creates a new state tracker with the same initial values.
is_paused()
State whether the tracker is currently paused.
last_executed_action_has( name, skip=0)
Returns whether last ActionExecuted event had a specific name.
past_states( domain)
Generate the past states of this tracker based on the history.
recreate_from_dialogue( dialogue)
Use a serialised Dialogue to update the trackers state.
reject_action( action_name)
Notify active form that it was rejected.
replay_events()
Update the tracker based on a list of events.
set_form_validation( validate)
Toggle form validation.
set_latest_action_name( action_name)
Set latest action name and reset form validation and rejection parameters.
travel_back_in_time( target_time)
Creates a new tracker with a state at a specific timestamp.
trigger_followup_action( action)
Triggers another action following the execution of the current.
update( event, domain=None)
Modify the state of the tracker according to an Event.